AI Agents
Ideas, experiments, and prototypes for building autonomous and collaborative AI agents.
This section showcases my work with single and multi-agent systems — from simple task automation to complex, tool-using agents with memory, planning, and guardrails. These are experiments, learnings, and building blocks for real-world applications.
- Experiments
- 11
- Open Source
- 11
- Technologies
- 21
- More to Explore
- ∞
Featured AI Agent Projects
A few highlighted experiments and prototypes.
- AI AgentsFeatured
AegiSense AI Assistant
An AI-powered assistant for identity and security operations. Uses RAG, tool calling, and guardrails to answer security questions and automate workflows.
- LangGraph
- FastAPI
- PostgreSQL
- Docker
- Multi-AgentFeatured
Research Crew
A multi-agent system that conducts in-depth research on any topic using specialized agents (researcher, critic, summarizer).
- LangChain
- CrewAI
- OpenAI
- Python
- AI Agents
Research Assistant Agent
An agent that can search, read, summarize, and generate insights from multiple sources (papers, docs, web).
- LangChain
- OpenAI
- SerpAPI
- Vector DB
How My AI Agents Work
A typical architecture used in these experiments.
- User(Request)
- Planner(Reasoning)
- Tools(APIs, DB, etc.)
- Memory(Short + long term)
- Guardrails(Policy & safety)
- Action(Execute task)
- Response(Results)
Feedback / Learn / Improve
All AI Agents
Explore all my AI Agents experiments, from simple prototypes to advanced systems.
11 experiments
An AI-powered assistant for identity and security operations. Uses RAG, tool calling, and guardrails to answer security questions and automate workflows.
- LangGraph
- FastAPI
- PostgreSQL
A multi-agent system that conducts in-depth research on any topic using specialized agents (researcher, critic, summarizer).
- LangChain
- CrewAI
- OpenAI
An agent that can search, read, summarize, and generate insights from multiple sources (papers, docs, web).
- LangChain
- OpenAI
- SerpAPI
An experimental agent that can help with deployment, monitoring, and troubleshooting using natural language.
- Python
- Docker
- Kubernetes
An AI agent that answers customer queries using company documentation.
- RAG
- FastAPI
- Next.js
Analyzes data, generates insights, and creates visualizations automatically.
- Python
- Pandas
- OpenAI
Generates blog posts, tutorials, and technical documentation.
- LangChain
- OpenAI
- Notion API
Transcribes, summarizes, and extracts action items from meetings.
- Whisper
- OpenAI
- Notion
A general-purpose assistant for daily tasks, research, and learning.
- LangGraph
- MCP
- Tool Use
Analyzes market data and provides investment insights (experimental).
- Python
- yFinance
- OpenAI
An agent that helps me learn new technologies with structured plans.
- OpenAI
- Notion
- RAG
Experiment · Learn · Build · Share
Let’s Build the Next Generation of AI Agents
Check out the code, try the demos, or get in touch to collaborate on exciting ideas.